Sum element of specified columns by group
agg_sum.RdCreates a Sum aggregation that computes the sum of each column in cols for each aggregation group.
Value
AggOp to be used in a call to agg_by() or agg_all_by().
Details
The aggregation groups that this function acts on are defined with the by parameter of the agg_by() or
agg_all_by() caller function. The aggregation groups are defined by the unique combinations of values in the by
columns. For example, if by = c("A", "B"), then the aggregation groups are defined by the unique combinations of
values in the A and B columns.
This function, like other Deephaven agg functions, is a generator function. That is, its output is another
function called an AggOp intended to be used in a call to agg_by() or agg_all_by(). This detail is
typically hidden from the user. However, it is important to understand this detail for debugging purposes,
as the output of an agg function can otherwise seem unexpected.
For more information, see the vignette on agg functions by running
vignette("agg_by").
Examples
if (FALSE) { # \dontrun{
library(rdeephaven)
# connecting to Deephaven server
client <- Client$new("localhost:10000", auth_type = "psk", auth_token = "my_secret_token")
# create data frame, push to server, retrieve TableHandle
df <- data.frame(
X = c("A", "B", "A", "C", "B", "A", "B", "B", "C"),
Y = c("M", "N", "O", "N", "P", "M", "O", "P", "M"),
Number1 = c(100, -44, 49, 11, -66, 50, 29, 18, -70),
Number2 = c(-55, 76, 20, 130, 230, -50, 73, 137, 214)
)
th <- client$import_table(df)
# compute sum of Number1 and Number2
th1 <- th$
agg_by(agg_sum(c("Number1", "Number2")))
# compute sum of Number1 and Number2 grouped by X
th2 <- th$
agg_by(agg_sum(c("Number1", "Number2")), by = "X")
# compute sum of Number1 and Number2 grouped by X and Y
th3 <- th$
agg_by(agg_sum(c("Number1", "Number2")), by = c("X", "Y"))
client$close()
} # }